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Theory and Practice of Natural Computing, Carlos Mart?n-Vide; Takaaki Mizuki; Miguel A. Vega


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Автор: Carlos Mart?n-Vide; Takaaki Mizuki; Miguel A. Vega
Название:  Theory and Practice of Natural Computing
ISBN: 9783319490007
Издательство: Springer
Классификация:




ISBN-10: 3319490001
Обложка/Формат: Paperback
Страницы: 221
Вес: 0.37 кг.
Дата издания: 2016
Серия: Lecture notes in computer science
Язык: English
Иллюстрации: 88 black & white illustrations, biography
Размер: 234 x 156 x 13
Читательская аудитория: Professional & vocational
Подзаголовок: 5th international conference, tpnc 2016, sendai, japan, december 12-13, 2016, proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 5th International Conference on Theory and Practice of Natural Computing, TPNC 2016, held in Sendai, Japan, in December 2016. The papers are grouped in topical sections on applications of natural computing, evolutionary computation, formal models, and machine learning.


Adaptive and Natural Computing Algorithms

Автор: Bartlomiej Beliczynski; Andrzej Dzielinski; Marcin
Название: Adaptive and Natural Computing Algorithms
ISBN: 3540715908 ISBN-13(EAN): 9783540715900
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The two volume set LNCS 4431 and LNCS 4432 constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions.

Natural Computing in Computational Finance

Автор: Anthony Brabazon; Michael O`Neill
Название: Natural Computing in Computational Finance
ISBN: 3642101127 ISBN-13(EAN): 9783642101120
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The first part of this book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number of agent-based simulations of financial systems.

Adaptive and Natural Computing Algorithms

Автор: Ville Kolehmainen; Pekka Toivanen; Bartlomiej Beli
Название: Adaptive and Natural Computing Algorithms
ISBN: 3642049206 ISBN-13(EAN): 9783642049200
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scienti?c community. Originally ICANNGA stood for "International Conference on Arti?cial Neural Networks and Genetic Algorithms," but in 2005 the conference was renamed to "International C- ference on Adaptive and Natural Computing Algorithms," while keeping the acronymICANNGA.The?rstICANNGAconferencewasheldinInnsbruckA- tria (1993), then Al es in France (1995), Norwich in the UK (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001), Roanne in France (2003), CoimbrainPortugal(2005)andWarsawinPoland(2007).ContinuingthisEu- peantradition, the9thICANNGA washeldinKuopio, Finland(2009).Thevast majority of ICANNGA conferences is organized by and based at a university. Drawing on the experience of previous events and following the same g- eral model, ICANNGA 2009 combined plenary lectures and technical sessions. Apart from being a widely recognized conference, it enhanced the possibility to exchange opinions through lectures and discussions, provided a great oppor- nity to meet new colleagues, as well as to renew old friendships and to facilitate the possibilities for international collaborations. As previously, the conference proceedings are published in the Springer LNCS series.

Natural Computing in Computational Finance

Автор: Anthony Brabazon; Michael O`Neill; Dietmar G. Mari
Название: Natural Computing in Computational Finance
ISBN: 3642263690 ISBN-13(EAN): 9783642263699
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Natural Computing

Автор: Ferdinand Peper; Hiroshi Umeo; Nobuyuki Matsui; Te
Название: Natural Computing
ISBN: 4431538674 ISBN-13(EAN): 9784431538677
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Constitutes the refereed proceedings of the Fourth International Workshop on Natural Computing, IWNC 2009, held in Himeji International Exchange Center, HIMEJI, JAPAN on September 2009.

Natural Computing in Computational Finance

Автор: Anthony Brabazon; Michael O`Neill; Dietmar G. Mari
Название: Natural Computing in Computational Finance
ISBN: 3642139493 ISBN-13(EAN): 9783642139499
Издательство: Springer
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Цена: 23508.00 р.
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Описание: The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Computing Attitude and Affect in Text: Theory and Applications

Автор: James G. Shanahan; Yan Qu; Janyce Wiebe
Название: Computing Attitude and Affect in Text: Theory and Applications
ISBN: 9400792573 ISBN-13(EAN): 9789400792579
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion.

Cognitive Computing: Theory and Applications,35

Автор: Raghavan, Vijay V
Название: Cognitive Computing: Theory and Applications,35
ISBN: 0444637443 ISBN-13(EAN): 9780444637444
Издательство: Elsevier Science
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Цена: 30823.00 р.
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Описание:

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface.


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